arXiv subjects

Johan Padding

Publications and source records attributed to Johan Padding.

4 recordsLinked to original sources

arXiv2023

A Generalized Model for Predicting the Drag Coefficient of Arbitrary Bluff Shaped Bodies at High Reynolds Numbers

We propose an accurate model for the drag coefficient of arbitrary bluff bodies that is valid for high Reynolds numbers ($Re$). The model is based on the drag coefficient model derived for the case of a sphere:, $C_D = a_1 +{\frac{K a_2}{Re}} +{a_3\log(Re)+ a_4\log^2(Re) + a_5\log^4(Re)}$ (El Hasadi and Padding, Chemical Engineering Science, Vol. 265, 2023). The coefficients $a_2$, $a_3$, $a_4$, and $a_5$ do not depend on the object's shape or its orientation with respect to the flow, and $K$ is the Stokes drag correction factor, which for the case of the sphere, is equal to 1.0. The shape and orientation effects are included in the value of $a_1$ for the high Reynolds number flow regime. Interestingly, we found a strong correlation between the value of the $a_1$ coefficient and the frictional drag derived from boundary layer theory. One of the main findings of this investigation is that the rate of change of the drag coefficient with respect to the Reynolds number in the inertial flow regime is independent of the shape of the body or its orientation. Our model successfully predicts, with acceptable accuracy, the historical data of Wieselsberger (Technical Report, 1922) for the case of an infinite cylinder. Additionally, the model predicts the drag coefficient of other bluff body geometries such as oblate and prolate spheroids, spherocylinders, cubes, normal flat plates and irregular non-spherical particles\@. Additionally, we present a power-based model for the drag coefficient: $ C_D = a_{p_1} + \frac{24K}{Re} + \frac{4.119}{\sqrt{Re}} $. In this model, the term $ a_{p_1} $ represents the asymptotic form drag in the subcritical flow regime for different bluff body geometries\@.

physics.flu-dyn↗

arXiv2020

On the Existence of Logarithmic Terms in the Drag Coefficient and Nusselt Number of a Single Sphere at High Reynolds Numbers

At the beginning of the second half of the twentieth century, Proudman and Pearson (J. Fluid. Mech.,2(3), 1956, pp.237-262) suggested that the functional form of the drag coefficient ($C_D$) of a single sphere subjected to uniform fluid flow consists of a series of logarithmic and power terms of the Reynolds number ($Re$).\ In this paper, we will explore the validity of the above statement for Reynolds numbers up to $10^{6}$ by using a symbolic regression machine learning method.\ The algorithm is trained by available experimental data and data from well-known correlations from the literature for $Re$ ranging from $0.1$ to $2\times 10^5$.\ Our results show that the functional form of the $C_D$ contains powers of $\log(Re)$, plus the Stokes term, fulfilling partially the statement made above. The logarithmic $C_D$ expressions can generalize (extrapolate) beyond the training data and are the first in the literature to predict with acceptable accuracy the rapid decrease (drag crisis) of the $C_D$ at high $Re$.\ We also find a connection between the root of the $Re$-dependent terms in the $C_D$ expression and the first point of laminar separation.\ We did the same analysis for the problem of heat transfer under forced convection around a sphere and found that the logarithmic terms of $Re$ and Peclect number $Pe$ play an essential role in the variation of the Nusselt number $Nu$.\ The machine learning algorithm independently found the asymptotic solution of Acrivos and Goddard (J. Fluid. Mech., 23(2),1965, pp.273-291).

physics.flu-dyn↗

arXiv2009

Coarse-graining dynamics for convection-diffusion of colloids: Taylor dispersion

By applying a hybrid Molecular dynamics and mesoscopic simulation technique, we study the classic convection-diffusion problem of Taylor dispersion for colloidal discs in confined flow. We carefully consider the time and length-scales of the underlying colloidal system. These are, by computational necessity, altered in the coarse-grained simulation method, but as long as this is carefully managed, the underlying physics can be correctly interpreted. We find that when the disc diameter becomes non-negligible compared to the diameter of the pipe, there are important corrections to the original Taylor picture. For example, the colloids can flow more rapidly than the underlying fluid, and their Taylor dispersion coefficient is decreased. The long-time tails in the velocity autocorrelation functions are altered by the Poiseuille flow. Some of the conclusions about coarse-graining the dynamics of colloidal suspensions are relevant for a wider range of complex fluids.

cond-mat.soft↗

arXiv2008

Hydrodynamics of confined colloidal fluids in two dimensions

We apply a hybrid Molecular Dynamics and mesoscopic simulation technique to study the dynamics of two dimensional colloidal discs in confined geometries. We calculate the velocity autocorrelation functions, and observe the predicted $t^{-1}$ long time hydrodynamic tail that characterizes unconfined fluids, as well as more complex oscillating behavior and negative tails for strongly confined geometries. Because the $t^{-1}$ tail of the velocity autocorrelation function is cut off for longer times in finite systems, the related diffusion coefficient does not diverge, but instead depends logarithmically on the overall size of the system.

cond-mat.soft↗